{"id":"W4321611436","doi":"10.1097/pcc.0000000000003194","title":"Effects of Unit Census and Patient Acuity Levels on Discussions During Patient Rounds","year":2023,"lang":"en","type":"article","venue":"Pediatric Critical Care Medicine","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; North York General Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Hospital for Sick Children; University of Toronto","keywords":"Census; Medicine; Rounding; Observational study; Visual acuity; Family medicine; Population; Ophthalmology; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003749697,0.0003358459,0.0002357118,0.0005383129,0.0007928216,0.000928392,0.0004930262,0.0003427854,0.00373758],"category_scores_gemma":[0.03905666,0.0002671308,0.0004267099,0.0004700714,0.000600626,0.000530917,0.001349465,0.0006984301,0.0002349691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574091,"about_ca_system_score_gemma":0.00219126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01107105,"about_ca_topic_score_gemma":0.01886813,"domain_scores_codex":[0.9940545,0.003059893,0.0005535783,0.0005136613,0.001182959,0.0006353159],"domain_scores_gemma":[0.9532118,0.02346071,0.01455427,0.00131329,0.002357304,0.005102578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002523219,0.0005535602,0.9705983,0.0001010351,0.00009343582,0.0001058835,0.003557302,0.0003801191,0.001233995,0.00004788816,0.0004425587,0.02036273],"study_design_scores_gemma":[0.00001006357,0.0003314728,0.9984781,0.00001613159,0.00001582533,0.00002079722,0.0006896199,0.0001224577,0.0001486648,0.00001133088,0.0001514227,0.000004186417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984912,0.0001406533,0.0001432047,0.0001133681,0.00001719117,0.0000306469,0.0001108553,0.000007063187,0.0009459488],"genre_scores_gemma":[0.9993819,0.00004939774,0.0002180376,0.00003373095,0.00001113083,0.0000418063,0.00009141545,0.000002413885,0.0001701965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01107105,"threshold_uncertainty_score":0.02201325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1620032579399249,"score_gpt":0.44892927640455,"score_spread":0.2869260184646251,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}